Pith Number

pith:6SK4H5OR

pith:2026:6SK4H5OR6TYCBJZWOHZRKSC5XR

not attested not anchored not stored refs resolved

Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS

Ashod Khederlarian, Biprateep Dey, Brett H. Andrews, Jeffrey A. Newman, Tianqing Zhang

A new semi-supervised model PITA outperforms other methods for photometric redshifts by training on both labeled redshifts and all available images and colors.

arxiv:2602.10207 v2 · 2026-02-10 · astro-ph.IM · astro-ph.GA

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\usepackage{pith}
\pithnumber{6SK4H5OR6TYCBJZWOHZRKSC5XR}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our new semi-supervised model, PITA (Photo-z Inference with a Triple-task Algorithm), outperformed all others by learning from unlabeled and labeled data through a three-part loss function that incorporates images and colors for all objects as well as redshifts when available.

C2weakest assumption

That performance gains measured on HST/CANDELS imaging will generalize to Roman Space Telescope data characteristics and that latent space smoothness directly improves photo-z accuracy without overfitting or domain shift issues.

C3one line summary

PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.

References

226 extracted · 226 resolved · 13 Pith anchors

[1] 2021, arXiv e-prints, arXiv:2101.04293, doi: 10.48550/arXiv.2101.04293 2021 · doi:10.48550/arxiv.2101.04293

[2] A., Almeida , A., et al 2020 · doi:10.3847/1538-4365/ab929e

[3] 2024, A&A, 683, A26, doi: 10.1051/0004-6361/202347395 2024 · doi:10.1051/0004-6361/202347395

[4] Akins, H. B., Casey, C. M., Berg, D. A., et al. 2025a, ApJL, 980, L29, doi: 10.3847/2041-8213/adab76 2041 · doi:10.3847/2041-8213/adab76

[5] Akins, H. B., Casey, C. M., Lambrides, E., et al. 2025b, ApJ, 991, 37, doi: 10.3847/1538-4357/ade984 · doi:10.3847/1538-4357/ade984

Receipt and verification

First computed	2026-05-18T03:10:03.574757Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f495c3f5d1f4f020a73671f315485dbc4b3f67e953b44dd66a9c556dbbe7d10a

Aliases

arxiv: 2602.10207 · arxiv_version: 2602.10207v2 · doi: 10.48550/arxiv.2602.10207 · pith_short_12: 6SK4H5OR6TYC · pith_short_16: 6SK4H5OR6TYCBJZW · pith_short_8: 6SK4H5OR

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6SK4H5OR6TYCBJZWOHZRKSC5XR \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f495c3f5d1f4f020a73671f315485dbc4b3f67e953b44dd66a9c556dbbe7d10a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8ac26d17f2b8f2f6aa20c6e535bf2fe35ad82863b794b53f7cb67a949354afba",
    "cross_cats_sorted": [
      "astro-ph.GA"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-02-10T19:01:05Z",
    "title_canon_sha256": "dc07ed586a8488af1ec5c6ef9cbbd17c9767135b0d34b1bd3f22dd183683eac7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.10207",
    "kind": "arxiv",
    "version": 2
  }
}